Results 1 to 10 of about 41,493 (218)
Distributed Error Correction of EKF Algorithm in Multi-Sensor Fusion Localization Model
IEEE Access, 2020 In order to solve the problem that the standard extended Kalman filter (EKF) algorithm has large errors in Unmanned Aerial Vehicle (UAV) multi-sensor fusion localization, this paper proposes a multi-sensor fusion localization method based on adaptive ...
Fengjun Hu, Gang Wu
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Sensorless speed control of DC motor using EKF estimator and TSK fuzzy logic controller
Automatika, 2022 In this article, sensorless speed control of DC motor has been proposed using the extended Kalman filter (EKF) estimator and Takagi–Sugeno-Kang (TSK) fuzzy logic controller (FLC).
Ravi Pratap Tripathi +3 more
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, 2008 {"references": ["S. Thrun, W. Burgard, and D. Fox. \u00abA real-time algorithm for mobile\nrobot mapping with applications to multi-robot and 3D mapping\u00bb. In:\nProceedings of the IEEE International Conference on Robotics and\nAutomation, 2000.", "M. Newman, J. J. Leonard, J. Neira, and J. Tardos.
ML. Benmessaoud +3 more
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Error Overboundings of KF-Based IMU/GNSS Integrated System Against IMU Faults
Sensors, 2019 Considering the inertial measurement unit (IMU) faults risk of an unmanned aerial vehicle (UAV), this paper studies the error overboundings of the state estimation of the extended Kalman filter (EKF) in a tightly coupled IMU/global navigation satellite ...
Wei Liu +3 more
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Moving-Horizon Dynamic Power System State Estimation Using Semidefinite Relaxation
, 2014 Accurate power system state estimation (PSSE) is an essential prerequisite for reliable operation of power systems. Different from static PSSE, dynamic PSSE can exploit past measurements based on a dynamical state evolution model, offering improved ...
Giannakis, Georgios B. +2 more
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Decentralized Cooperative Multi-Robot Localization with EKF
CoRR, 2018 Multi-robot localization has been a critical problem for robots performing complex tasks cooperatively. In this paper, we propose a decentralized approach to localize a group of robots in a large featureless environment. The proposed approach only requires that at least one robot remains stationary as a temporary landmark during a certain period of ...
Ruihua Han +4 more
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A Robust Pose Estimation Method for Multicopters Using Off-Board Multiple Cameras
IEEE Access, 2020 Pose estimation is an important issue for the visual servoing of multicopters. With a process model customized for multicopters and a generic camera model, an extended Kalman filter (EKF) method is proposed in this paper to estimate the pose of ...
Qiang Fu, Zi-Liang Zheng
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Sensors, 2013 In this paper measurements from a monocular vision system are fused with inertial/magnetic measurements from an Inertial Measurement Unit (IMU) rigidly connected to the camera. Two Extended Kalman filters (EKFs) were developed to estimate the pose of the
Gabriele Ligorio, Angelo Maria Sabatini
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Divide and Conquer: EKF SLAM in $O(n)$ [PDF]
IEEE Transactions on Robotics, 2008 In this paper, we show that all processes associated with the move-sense-update cycle of extended Kalman filter (EKF) Simultaneous Localization and Mapping (SLAM) can be carried out in time linear with the number of map features. We describe Divide and Conquer SLAM, which is an EKF SLAM algorithm in which the computational complexity per step is ...
Lina María Paz +2 more
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Robustness Evaluation of Extended and Unscented Kalman Filter for Battery State of Charge Estimation
IEEE Access, 2018 In this paper, the robustness of model-based state observers including extended Kalman filter (EKF) and unscented Kalman filter (UKF) for state of charge (SOC) estimation of a lithium-ion battery against unknown initial SOC, current noise, and ...
Chao Huang +5 more
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